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Demo Data from EDBT 2026 / reviewers in the wild / expert

Roberta Gismondi

dblp:313/9729 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Program synthesis and code generation · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program synthesis and code generation
code completion		 0.612022
CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences · ICSE 2022

Methods — techniques the papers use, named apart from their topics

neural language model · 0.6joint structure and naming learning · 0.6
YearPublicationVenuePosition
2022 CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences
abstract
Code completion is an essential feature of IDEs, yet current auto-completers are restricted to either grammar-based or NLP-based single token completions. Both approaches have significant drawbacks: grammar-based autocompletion is restricted in dynamically-typed language environments, whereas NLP-based autocompleters struggle to understand the semantics of the programming language and the developer's code context.
Maliheh Izadi, Roberta Gismondi, Georgios Gousios
 ICSE2